… is equally allocated to all designs. Namely, all designs are equally simulated and then we
focus on ordinal comparison. Such a way is equivalent to the sole use of ordinal optimization. …

… stable allocation. A simple algorithm finds “row-optimal” and “column-optimal” … allocations,
given any stable allocation. When a problem is nondegenerate it finds all stable allocations…

… further dramatically improve the efficiency of ordinal optimization. We investigate the … ordinal
optimization by comparing the sequential version of the optimal computing budget allocation …

… problem is addressed using an ordinal regression point of view … (known as ordinal regression
or ordinal classification) have … been addressed by transforming ordinal scales into numeric …

… In this paper, we present a new approach that can further enhance the efficiency of ordinal
… the reduction obtained through the use of ordinal optimization for a 10-design example. …

… resource allocation scheme we analyze are worth noting because of their practical implications.
All iterative reallocation steps are driven by ordinal … Consequently: 1) as in other ordinal …

… ordinal classifiers, achieving an average cost reduction of 1% with ordinal decision tree-based
models and 4.4% with ordinal … -resource allocation for ordinal classification problems. Our …

… We study ordinal rules for allocating indivisible … allocation rules that respond only to the
ordinal content of agents’ preferences without regard for intensities. The restriction to ordinal …

… In this paper, we have formulated the resource allocation optimization problem for … of a
resource allocation design within a tolerable computation time. Secondly, we employ an ordinal …

… that ordinal optimisation can achieve an exponential convergence rate. Section 5 gives a
budget allocation … Furthermore, we present a new computing budget allocation approach that …